Paper Title :Modelling of Adaptive and Innate Immune Responses and Identification of Crosstalk Amongst Various Signaling Pathways Involved in HCV Infection using Systems Biology Approach
Author :Ayesha Obaida, Anam Naza, Faryal Mehwish Awana, Aqsa Ikrama, Jamil Ahmadb, Amjad Alia
Article Citation :Ayesha Obaida ,Anam Naza ,Faryal Mehwish Awana ,Aqsa Ikrama ,Jamil Ahmadb ,Amjad Alia ,
(2018 ) " Modelling of Adaptive and Innate Immune Responses and Identification of Crosstalk Amongst Various Signaling Pathways Involved in HCV Infection using Systems Biology Approach " ,
International Journal of Advances in Science, Engineering and Technology(IJASEAT) ,
pp. 30-35,
Volume-6, Issue-1, Spl. Iss-2
Abstract : The interactive network of host immune system mounts an antiviral response against Hepatitis C Virus (HCV) and
thus forms the first line of host defense against the viral infection. However, chronic HCV infection may result when the host
immune system fails to clear the infection efficiently. There are various host and viral factors which contribute to failure of
host defense system. In this regard, the virus has evolved escape strategies at various host defense levels which hinders viral
clearance from the body. It is believed that virus elimination is linked to the direct outcome of the interactions between the
various innate and adaptive immune pathways and HCV proteins. Yet the exact hubs of cross-talks amongst the innate and
adaptive immune system is still not clearly understood. The vast array of data has been generated over the years through
conventional wet lab approaches. However, obtaining an integrated view of the complex immune response network while
exploring the qualitative aspects of the crosstalk amongst the innate and adaptive immune responses presents an enormous
challenge for the biologists. In order to understand the collective functioning of immune response system during HCV
infection, a study was designed based on systems biology approaches and computational biology techniques. Systems biology
approaches enable to analyze highly complex large networks and gives a holistic view of the whole system under study.
Computational approach of Petri nets was applied to model and simulate the immune response network in the presence of
HCV, utilizing the available experimental data from literature. The study focused on the development of an integrated
immune response network consisting only the important pathways of both innate and adaptive signaling pathways. It
highlighted the important junctions of innate and adaptive immune systems crosstalk. The model presents a simplified
formalization of the HCV related immune responses which improved our understanding of continuous dynamics of infection,
identification of crucial parameters and suggested directions for further experimental research.
Index Terms - HCV, systems biology, Petri net, HCV model, HCV core, HCV Envelope 2,
Type : Research paper
Published : Volume-6, Issue-1, Spl. Iss-2
DOIONLINE NO - IJASEAT-IRAJ-DOIONLINE-11700
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Copyright: © Institute of Research and Journals
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Published on 2018-05-15 |
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